Learn how to apply Python to data science, machine learning, data visualization, and automation. In this program, you will learn the necessary programming skills to manipulate databases and perform various levels of analysis on the data. You'll finish the program prepared to apply for entry-level data science and Python engineering positions.
You'll begin by learning Python programming fundamentals and using NumPy, Pandas, and Matplotlib to analyze data. After learning Python and its three main data science libraries, you will create predictive models from the data using machine learning packages such as scikit-learn. You will also use Python to automate everyday tasks such as aggregating, updating, and formatting data.
In the final unit, you will use Matplotlib, Seaborn, Plotly, and Dash to create data visualizations and interactive dashboards that you can deploy to GitHub, where they will be easily accessible for potential employers to review.
This is the recommended order, but some courses may be taken in a different order.
Unit 1 30 Hours
Build a strong foundation in Python programming and data analysis through real-world projects that prepare you for advanced topics like machine learning and predictive modeling.
Unit 2 30 Hours
Gain hands-on experience building predictive models using Python in this practical machine learning course, designed to help you understand core algorithms and apply them to real-world data.
Unit 3 6 Hours
Learn how to automate web tasks and extract valuable online data using Python, with practical training in web scraping, data storage, and script scheduling.
Unit 4 24 Hours
Transform raw data into interactive visual insights by building dashboards with Python’s top visualization tools. This course blends analysis, design, and deployment to help you showcase data professionally.
Choose one free elective. Contact us after registration to select your dates.
Bonus 30 Hours
Learn how to build AI-powered web applications using Flask and the OpenAI API. This course covers web development fundamentals, API integration, and AI-driven features for interactive applications.
Bonus 30 Hours
Gain hands-on experience with advanced machine learning techniques as you build and deploy real-world projects across natural language processing, recommendation systems, forecasting, deep learning, and computer vision.
From our hands-on training style to world-class instructors and custom-crafted curriculum, we deliver results our alumni are proud of.
The instructor was clear, knowledgeable, and engaging. Great class experience.
Kash and Brian are passionate, knowledgeable, and personable - just want you want in instructors.
Kash was a great instructor, and I certainly learned a lot. Thanks!
It was great; my Python skills were elevated rapidly in a relatively short amount of time.
Brian was great! Thoughtful and methodical with his programming. Likes to help students.
Take this course if you are interested in learning best practices and principles for safely incorporating AI APIs into your full-stack web applications. Intermediate experience with Python, JavaScript, HTML, and CSS is advisable. I had Brian, the creator of the course, as my instructor. He's passionate about this technology, and you will benefit from his professionalism and real-world experience in this space. At the end of the course, you will know how to augment web applications with AI technology, and you will have two apps and a detailed 141-page reference document to refer back to.
Kash was an excellent instructor! His teaching method is so clear, and I really liked that he gave a variety of simple metaphors. He also ensures we have enough breaks to help ease how intellectually challenging dense lessons on Python can be. Can't thank him enough for his passion for teaching! I will be trying to take another course taught by him because this was fantastic. 10/10!
This Advanced Machine Learning course is excellent—hands-on, step-by-step, and full of practical labs. Real-world examples, like building apps with Flask and using machine learning for recommendations, make it very applicable. The instructor is knowledgeable and approachable, making the learning experience engaging and truly worth the time.
Super helpful and really learned a lot!
Class contents were well structured to understand the basics of Python.
Great format with fantastic explanations.
If you're thinking about taking a Data Science and Python bootcamp, Noble Desktop might be the only one in NYC that still offers both in-person and online courses and class retakes! Python for Data Science with Kash = highly recommended!
The course is very, very well structured. I am amazed to have seen so many things in just one week. And what to say about the instructor, Kash? Simply... Excellent. Someone with huge experience in Python and Data Science, who was able to make us easily understand quite advanced things in just one week! Fully recommended course!
Very good experience and knowledge that will be useful for our job environment.
If you are looking for a fun, fast-paced, challenging introduction to data visualization in Python, this is the course for you.
This class gave me the info that I needed. I enjoyed it greatly and learned a ton.
Outstanding work from Brian. Great course for anyone looking to deep dive into Python.
Super passionate, outstanding instructor. The format of using notebooks is great vs. PowerPoint and moving between PowerPoint and Visual Studio or Google Colab.
Outstanding class from Brian, once again. 5 stars.
Brian is a very energetic and passionate instructor who responds well to questions. The material was appropriate, covering the basics, and the Combination of Google Colab and Slack was great.
Great instructor. I like how Brian helped students when they had issues with their exercises. He made sure that everybody understood the assignment by asking questions. I will recommend this to anyone who wants to learn Python.
This bootcamp was exactly what I needed to demystify machine learning. Brian’s teaching style, real-world examples, and signature ‘Brianisms’ kept me fully engaged all week. The pace was fast, the content was spot on, and I walked away wanting more.
A great course. I gained an incredible amount of knowledge in only 5 days.
Noble Desktop and Brian McClain hit it out of the park again! Fasten your seatbelts and hold on, because this class is a rocket ship of learning. It brilliantly takes foundational Python and expands it naturally to show you how to develop working machine learning models. It is a lot of information for a 30-hour bootcamp, but the flow ensures understanding through carefully crafted exercises and real-world examples. A+
The instructor explains material well, will answer questions, and work with students experiencing any issues.
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The teaching method at Noble Desktop is perfect and the classes provide you with infinite knowledge that makes you eager to take everything they offer. I love Noble!
—Ivonne Ackerman
Experienced educators who are driven to help you succeed
Refresh the materials for free within one year
Attend this certificate program in-person in NYC or live online via Zoom or as self-paced training. Engage with expert instructors, ask questions, and get feedback on your exercises and projects.
Unlike other providers, these are not mass open-enrollment classes. At Noble Desktop, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.
Get face-to-face interaction with an instructor and other students when you learn at our 185 Madison Ave, NYC campus. Courses are hands-on with a computer and software provided.
Get the same interactivity and access to the instructor as in-person students. There are no extra fees and we’ll work with you to ensure your remote setup is perfect.
Learn at your own pace with pre-recorded video lessons and hands-on exercises. Work through the material on your schedule with access to course content and resources.
Our instructors are industry experts and experienced educators, driven to help you succeed.
We want you to succeed in your career goals. In addition to 96 hours of hands-on, interactive training, you’ll also receive eight 1-on-1 mentoring sessions where you can:
Upon completion of this course, you’ll receive an official certificate testifying to your mastery of the curriculum. We’ll send you a link where you can download your certificate, share it online with your friends, post it to your professional network on LinkedIn, and view all your earned certificates. Congratulations on your achievement!
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We offer a single free retake of any module or the whole program within a year.
You can also access recordings of each session in your student portal within one business day of the session’s end. Recordings are available for one month after the session.
Learn practical skills by working on real projects with instructor guidance and lectures to strengthen and improve your skill.
The Python Data Science & Machine Learning Bootcamp is best suited for:
In addition to 96 hours of interactive training, you will receive eight 1-on-1 mentoring sessions that can be used for career and job support, including polishing your resume, preparing for interviews, and reviewing best practices for applying to jobs. Note, however, that we don’t provide job placement (i.e. reaching out to companies on your behalf).
Yes, this course is open to beginners. Students must be comfortable using a computer. No other prior knowledge is required.
Yes, this course is eligible for our installment plan.
Learn more in the Tuition section above.
You may attend this training virtually (online) at the scheduled time the course is offered (New York, Eastern Time).
You have some options:
Choose one free elective. Contact us after registration to select your dates.
There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us.
This program is a discounted package of classes that is 15–25% off the individual class prices, so additional discounts do not apply.
